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Model-es-qu

Text2Text Generation
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marian
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- ---
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- license: apache-2.0
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- base_model: Helsinki-NLP/opus-mt-es-en
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- tags:
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- - generated_from_trainer
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- model-index:
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- - name: Model-es-qu
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- results: []
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- ---
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-
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- <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- should probably proofread and complete it, then remove this comment. -->
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-
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- # Model-es-qu
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-
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- This model is a fine-tuned version of [Helsinki-NLP/opus-mt-es-en](https://huggingface.co/Helsinki-NLP/opus-mt-es-en) on an unknown dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 0.2958
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-
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- ## Model description
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-
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- More information needed
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-
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- ## Intended uses & limitations
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-
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- More information needed
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-
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- ## Training and evaluation data
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-
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- More information needed
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-
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- ## Training procedure
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-
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- ### Training hyperparameters
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-
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- The following hyperparameters were used during training:
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- - learning_rate: 0.00014023977100100803
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- - train_batch_size: 16
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- - eval_batch_size: 16
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- - seed: 42
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- - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- - lr_scheduler_type: linear
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- - lr_scheduler_warmup_steps: 16
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- - num_epochs: 6
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- - mixed_precision_training: Native AMP
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-
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- ### Training results
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-
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:-----:|:-----:|:---------------:|
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- | 0.3983 | 1.0 | 6422 | 0.3643 |
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- | 0.3285 | 2.0 | 12844 | 0.3257 |
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- | 0.2908 | 3.0 | 19266 | 0.3065 |
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- | 0.2537 | 4.0 | 25688 | 0.2981 |
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- | 0.2203 | 5.0 | 32110 | 0.2943 |
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- | 0.1969 | 6.0 | 38532 | 0.2958 |
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-
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-
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- ### Framework versions
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-
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- - Transformers 4.43.3
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- - Pytorch 2.4.0+cu118
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- - Datasets 2.20.0
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- - Tokenizers 0.19.1
 
 
 
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+ ---
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+ license: apache-2.0
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+ base_model: Helsinki-NLP/opus-mt-es-en
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+ tags:
5
+ - generated_from_trainer
6
+ model-index:
7
+ - name: Model-es-qu
8
+ results: []
9
+ ---
10
+
11
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
12
+ should probably proofread and complete it, then remove this comment. -->
13
+
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+ # Model-es-qu
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+
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+ This model is a fine-tuned version of [Helsinki-NLP/opus-mt-es-en](https://huggingface.co/Helsinki-NLP/opus-mt-es-en) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - BLEU: 15.47193377563526
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+ - chrF: 49.809088254243925
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+ - Loss: 0.2958
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
33
+
34
+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.00014023977100100803
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
42
+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 16
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+ - num_epochs: 6
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:-----:|:---------------:|
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+ | 0.3983 | 1.0 | 6422 | 0.3643 |
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+ | 0.3285 | 2.0 | 12844 | 0.3257 |
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+ | 0.2908 | 3.0 | 19266 | 0.3065 |
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+ | 0.2537 | 4.0 | 25688 | 0.2981 |
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+ | 0.2203 | 5.0 | 32110 | 0.2943 |
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+ | 0.1969 | 6.0 | 38532 | 0.2958 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.43.3
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+ - Pytorch 2.4.0+cu118
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1